2023/08/30 by Lars Ole Schwen, Tim‐Rasmus Kiehl, Tim-Rasmus Kiehl +3
Computer Science · Engineering · Medicine · #AI in cancer detection #Biomedical and Engineering Education #Clinical Laboratory Practices and Quality Control
paper · pdf · doi:10.1016/j.labinv.2023.100244
openalex publication_date 2023/08/30 · crossref created 2023/08/30 · crossref issued 2023/11/01 · crossref published 2023/11/01 · crossref published-print 2023/11/01 · crossref deposited 2025/09/20 · openalex created_date 2025/10/10 · crossref indexed 2026/07/31 · openalex updated_date 2026/08/01
Pathology laboratories are increasingly using digital workflows. This has the potential of increasing laboratory efficiency, but the digitization process also involves major challenges. Several reports have been published describing the individual experiences of specific laboratories with the digitization process. However, a comprehensive overview of the lessons learned is still lacking. We provide an overview of the lessons learned for different aspects of the digitization process, including digital case management, digital slide reading, and computer-aided slide reading. We also cover metrics used for monitoring performance and pitfalls and corresponding values observed in practice. The overview is intended to help pathologists, information technology decision makers, and administrators to benefit from the experiences of others and to implement the digitization process in an optimal way to make their own laboratory future-proof.